Data Champions Search

Paola Finoia, PhD

Research Associate

Department of Anaesthesia

Areas Of Expertise:

Git, Matlab, Visual Basic, Data visualisation, Statistical analysis, Data Management Plans, Data collection, Database design, Experimental design, Sensitive data, Research data ethics, Data protection and research, Data policies, Imaging, Textual data

Contact Information

pf260@cam.ac.uk

My LinkedIn Profile

Biography

My current work combines neurobehavioral observation, fMRI and EEG in patients with Disorders of Consciousness. In particular, my research investigates which factors might predict patient performance, which technique (or combination of techniques), might be most sensitive in detecting residual conscious awareness, and which pattern of performance best classifies conscious state.
I am also interested in the role of attentional mechanisms in conscious perception; specifically, I have been studying which temporal and spatial factors influence divided attention when stimuli in different sensory modalities compete for conscious access, leading to integration or interference.
I strongly believe in the importance of open access and data sharing. I joined the Data Champions initiative at the University of Cambridge, aiming to increase awareness of the importance and benefits of sharing data, and to providing support within my department on how to share data through the university repository.

Additional areas of expertise:

Attentional cognitive processes, disorder of consciousness.

Rina Lai

PhD student

Faculty of Education

Areas Of Expertise:

Data sharing policies, Sensitive data, Code sharing, Data analysis, Open Access publication, R language, Data visualisation, Statistical analysis, Data Management Plans, Data collection, Experimental design, Research data ethics, Data protection and research, Open data, Writing/publishing data papers, Surveys

Contact Information

ORCiD:

Biography

My research lies at the intersection of psychology, education, and computer science. I am interested in the philosophical underpinnings of different statistical paradigms and reproducible science. I was previously trained in Bayesian cognitive modeling at the JAGS and WinBUGS workshop (by Prof. Michael Lee and Prof. Eric-Jan Wagenmakers) and Bayesian item response modeling at the University of Twente (by Prof. Jean-Paul Fox).

Sergio Martínez Cuesta, PhD

Postdoctoral Research Associate

Cancer Research UK Cambridge Institute

Areas Of Expertise:

Bioinformatics, Cheminformatics, Coding, Python, R language, SQL, Git, Data visualisation, Big data, Data mining, Machine learning, Statistical analysis, Electronic Lab Notebooks, Data collection, Database design, Data architecture, Experimental design, Research data ethics, Data storage, Institutional repositories, Discipline-specific repositories, Data sharing, Data archiving, Code sharing, Open data, Data preservation, Writing/publishing data papers, Imaging, Workshop delivery, Video editing

Contact Information

sermarcue@gmail.com

My LinkedIn Profile

ORCiD:

0000-0001-9806-2805

Biography

My research involves developing computational methods to explore the chemical biology of the genome and investigating proteins catalysing chemical modifications in DNA.

Additional areas of expertise:

Computational biology/chemistry.

Shamith Samarajiwa, PhD

Group Leader

MRC Cancer Unit

Areas Of Expertise:

File sharing systems, Big data, Discipline-specific repositories, Repositories (general), Data sharing policies, Sensitive data, Code sharing, Data analysis, Bioinformatics, Data science, Coding, Python, R language, Git, SQL, C/C++/C# language, Data visualisation, Data mining, Machine learning, Statistical analysis, Data Management Plans, Electronic Lab Notebooks, Data collection, Database design, Experimental design, Data storage, Data sharing, Open data, Version control, Textual data, Workshop delivery, Website development

Contact Information

ss861@mrc-cu.cam.ac.uk

@shamith

ORCiD:

0000-0003-1046-0601

Biography

Shamith is a Group Leader at the MRC Cancer Unit. His lab develops and applies Genomics, Computational Biology, Data Science and AI approaches to understand processes leading to cancer formation and to develop cancer early detection methods.

url: https://samarajiwa-lab.org/

Ulla Sovio, PhD

Senior Research Associate

Department of Obstetrics & Gynaecology

Areas Of Expertise:

Data analysis, Statistical analysis, Data collection, Experimental design, Sensitive data, Data protection and research, Sociall media and digital communications

Contact Information

us253@medschl.cam.ac.uk

My LinkedIn Profile

ORCiD:

0000-0002-0799-1105

Biography

Dr Ulla Sovio, Senior Research Associate in Applied Medical Statistics, studies the prediction of adverse pregnancy outcomes. Her research interests include clinical risk prediction, development of screening tools, and application of longitudinal growth modelling and time-to-event analysis methods. Sovio is currently analysing biomarker data to further improve the identification of high risk pregnancies.

Website:

http://www.obgyn.cam.ac.uk/staff/research-staff/ulla-sovio/

Additional areas of expertise:

Medical statistics, epidemiology, pregnancy research, longitudinal modelling, prediction modelling, survival analysis, biomarkers, Stata.

Paola Finoia, PhD

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Biography

Rina Lai

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Biography

Sergio Martínez Cuesta, PhD

Contact Information

Biography

Shamith Samarajiwa, PhD

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Biography

Ulla Sovio, PhD

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Biography

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